Evidence map›Paper›PMID 24981988›Full record

ArticleInternational journal of medical informatics2014

Usability testing of Avoiding Diabetes Thru Action Plan Targeting (ADAPT) decision support for integrating care-based counseling of pre-diabetes in an electronic health record.

Dillon Chrimes, Nicole R Kitos, Andre Kushniruk, Devin M Mann

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in International journal of medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03935282 (Assessing Effectiveness and Implementation of an EHR Tool to Assess Heart Health Among Survivors), which is not on this map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
6.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03935282 nacompletednot on this mapstarted 2020, after this paper: background citation

Assessing Effectiveness and Implementation of an EHR Tool to Assess Heart Health Among Survivors (AH-HA)

TypeinterventionalSponsorWake Forest University Health SciencesRan2020 to 2025Enrolled645ConditionsBreast Neoplasm, Prostatic Neoplasm, Colorectal Neoplasms, Endometrial NeoplasmsArmsAH-HA Tool in the EPIC EHR
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  3. An appraisal of published usability evaluations of electronic health records via systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
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  15. Collaborative Health Reminders and Notifications: Insights from Prototypes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
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  16. Usability evaluation of the SMART application for youth with mTBI.International journal of medical informatics · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Dillon ChrimesSchool of Health Information Science, University of Victoria, British Columbia, Canada; Sierra Systems Group Inc., Health Practice and IT Consulting, Vancouver-Calgary-Toronto, Canada.
Nicole R KitosDepartment of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA.
Andre KushnirukSchool of Health Information Science, University of Victoria, British Columbia, Canada.
Devin M MannDepartment of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA. Electronic address: dmann@bu.edu.
Boston University · USIsland Health · CAUniversity of Victoria · CA

Funding

Diabetes Risk Communication Tool to Improve Lifestyle BehaviorsK23DK081665 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MANN, DEVIN M · 2009 to 2013
$875k
NIDDK NIH HHS 5K23DK081665NIDDK NIH HHS K23 DK081665
6 · The paper itself

Abstract

purposeUsability testing can be used to evaluate human-computer interaction (HCI) and communication in shared decision making (SDM) for patient-provider behavioral change and behavioral contracting. Traditional evaluations of usability using scripted or mock patient scenarios with think-aloud protocol analysis provide a way to identify HCI issues. In this paper we describe the application of these methods in the evaluation of the Avoiding Diabetes Thru Action Plan Targeting (ADAPT) tool, and test the usability of the tool to support the ADAPT framework for integrated care counseling of pre-diabetes. The think-aloud protocol analysis typically does not provide an assessment of how patient-provider interactions are effected in "live" clinical workflow or whether a tool is successful. Therefore, "Near-live" clinical simulations involving applied simulation methods were used to compliment the think-aloud results. This complementary usability technique was used to test the end-user HCI and tool performance by more closely mimicking the clinical workflow and capturing interaction sequences along with assessing the functionality of computer module prototypes on clinician workflow. We expected this method to further complement and provide different usability findings as compared to think-aloud analysis. Together, this mixed method evaluation provided comprehensive and realistic feedback for iterative refinement of the ADAPT system prior to implementation.

methodsThe study employed two phases of testing of a new interactive ADAPT tool that embedded an evidence-based shared goal setting component into primary care workflow for dealing with pre-diabetes counseling within a commercial physician office electronic health record (EHR). Phase I applied usability testing that involved "think-aloud" protocol analysis of eight primary care providers interacting with several scripted clinical scenarios. Phase II used "near-live" clinical simulations of five providers interacting with standardized trained patient actors enacting the clinical scenario of counseling for pre-diabetes, each of whom had a pedometer that recorded the number of steps taken over a week. In both phases, all sessions were audio-taped and motion screen-capture software was activated for onscreen recordings. Transcripts were coded using iterative qualitative content analysis methods.

resultsIn Phase I, the impact of the components and layout of ADAPT on user's Navigation, Understandability, and Workflow were associated with the largest volume of negative comments (i.e. approximately 80% of end-user commentary), while Usability and Content of ADAPT were representative of more positive than negative user commentary. The heuristic category of Usability had a positive-to-negative comment ratio of 2.1, reflecting positive perception of the usability of the tool, its functionality, and overall co-productive utilization of ADAPT. However, there were mixed perceptions about content (i.e., how the information was displayed, organized and described in the tool). In Phase II, the duration of patient encounters was approximately 10 min with all of the Patient Instructions (prescriptions) and behavioral contracting being activated at the end of each visit. Upon activation, providers accepted the pathway prescribed by the tool 100% of the time and completed all the fields in the tool in the simulation cases. Only 14% of encounter time was spent using the functionality of the ADAPT tool in terms of keystrokes and entering relevant data. The rest of the time was spent on communication and dialog to populate the patient instructions. In all cases, the interaction sequence of reviewing and discussing exercise and diet of the patient was linked to the functionality of the ADAPT tool in terms of monitoring, response-efficacy, self-efficacy, and negotiation in the patient-provider dialog. There was a change from one-way dialog to two-way dialog and negotiation that ended in a behavioral contract. This change demonstrated the tool's sequence, which supported recording current exercise and diet followed by a diet and exercise goal setting procedure to reduce the risk of diabetes onset.

conclusionsThis study demonstrated that "think-aloud" protocol analysis with "near-live" clinical simulations provided a successful usability evaluation of a new primary care pre-diabetes shared goal setting tool. Each phase of the study provided complementary observations on problems with the new onscreen tool and was used to show the influence of the ADAPT framework on the usability, workflow integration, and communication between the patient and provider. The think-aloud tests with the provider showed the tool can be used according to the ADAPT framework (exercise-to-diet behavior change and tool utilization), while the clinical simulations revealed the ADAPT framework to realistically support patient-provider communication to obtain behavioral change contract. SDM interactions and mechanisms affecting protocol-based care can be more completely captured by combining "near-live" clinical simulations with traditional "think-aloud analysis" which augments clinician utilization. More analysis is required to verify if the rich communication actions found in Phase II compliment clinical workflows.

Indexed as

Research DesignCounselingDecision Support Systems, ClinicalDiabetes MellitusElectronic Health RecordsEvidence-Based MedicineHealth PromotionHumansMedical InformaticsPractice Patterns, Physicians'Primary Health CareBehavioral changeBehavioral contractingClinical simulationsElectronic health recordsPatient counselingProtocol-based careUsability

Identifiers

PMID24981988
PMCPMC4212327
OpenAlexW2128563812

What OpenQuestion holds

Textmetadata
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.